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MATH 131 Lab 2 1/2021 The goal of this lab is to organize your data from Lab 1 into frequency distributions and graphs. Graphs
MATH 131 Lab 2 1/2021 The goal of this lab is to organize your data from Lab 1 into frequency distributions and graphs. Graphs should be made by hand, using a ruler. (3 points) Part 1: V1, Qualitative Data A. Prepare a frequency and relative frequency distribution for your qualitative data V1 in the format noted below. Fill in the appropriate data values and frequencies for your data from Lab 1. V1: Qualitative categories Frequency, f Relative frequency, rf B. Prepare a Pareto chart for your data. C. Write a one-sentence explanation about what these charts tell you about your data and whether you expected this result. MATH 131 Lab 2 Part 2: V2, Quantitative Data 1/2021 (3 points) A. List the name for V2, the quantitative variable for this part of the lab. Organize your data into a frequency distribution using between 5 and 10 groups or single values, as appropriate for your data. V2: V2 values or V2 data groups If data groups are used, list class midpoints Frequency, f Relative frequency, rf B. Prepare a relative frequency histogram for your data. Be sure to label clearly. C. Comment about your histogram. Use words like "symmetric","skewed left or right", as appropriate. MATH 131 Lab 2 Part 3: V3, Quantitative Data (4 points) A. Prepare a frequency distribution for your data, using between 5 and 10 groups. V3: V3 data groups Class midpoints Frequency, f B. Prepare a frequency polygon using class midpoints. Label carefully. C. What does the graphs communicate to you about your data? 1/2021 1. What do you anticipate finding as you study your variables and their relationships? I anticipate finding the similarities and differences between the baseball Hall of Fame players. This will show who played more games and how many years they have played. I'm looking to find out if the number of years and games played corelates with being a better player. 2. Clearly identify your population. Remember that your population size must be greater than 40. (This can be done in one sentence.) The population is baseball Hall of Fame players. There will be 40 players randomly selected. 3. Identify THREE variables that apply to each element in your population. One should be a qualitative variable and the other two should be quantitative variables. V1, Qualitative Variable: Player V2, Quantitative Variable: Games Played V3, Quantitative Variable: Seasons Played 4. Clearly and in detail, explain the sampling procedure you used to collect your sample of size 40 from the larger population. (This should be a short paragraph.) I chose the random sample and used the randomizer to get my data. After getting my numbers I went through the spreadsheet and picked out all the information I needed which was the team each hall of fame member player. Then I collected the total amount of seasons they played as well as the number of games they had played in their career. I then put all that into a spreadsheet. 5. Develop an electronic file in Stat Crunch, Minitab or Excel with a list of the raw data (the actual values) that you have collected. This will be a list that is 3 columns of data for 40 lines of data. Include a copy here. 1 Player Games Played Seasons Played 2 Fred Mcgriff 2,460 19 3 David Ortiz 2,408 19 4 Scott Rolen 2,038 16 5 Tony Olivia 1,676 14 6 Larry Walker 1,988 16 7 Gil Hodges 2,071 8 Jim Kaat 898 9 Minnie Minoso 1,946 10 Derek Jeter 2,747 11 George Brett 2,707 12 Harold Baines 2,830 13 Ernie Banks 2,528 14 Yogi Berra 2,120 15 Jake Beckley 2,392 16 Johnny Bench 2,158 17 Charles Bender 459 18 Cool Papa Bell 1,199 19 Jeff Bagwell 2,150 20 Earl Averill 1,669 21 Richie Ashburn 2,189 22 Luke Appling 2,422 23 Pete Alexander 696 24 Hank Aaron 3,298 25 Roberto Alomar 2,379 26 Cap Anson 2,524 27 Luis Aparicio 2,599 28 Dave Bancroft 1,913 29 Craig Biggio 2,850 30 Bert Blyleven 692 31 Wade Boggs 2,240 32 Jim Bottomley 1,991 33 Lou Boudreau 1,646 34 Roger Bresnahan 1,446 35 Lou Brock 2,616 36 Dan Brouthers 1,673 37 Mordecai Brown 481 38 Ray Brown 215 39 Willard Brown 397 40 Steve Carlton 741 23 41 Gary Carter 2,296 22222222222222266222222222222222 20 24 34 19 20 21 18 19 19 16 24 14 12 14 20 19 16 17 15 19 17 15 14 18 18 25 13 13 11 18 47
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